code: def forward(self, x):
      base = self.base(x)
      final = self.seg(base)
      if self.use_torch_up:
          return F.interpolate(final, x.size()[2:], mode="bilinear")
      else:
          return self.up(final)
  
file_path: pywick/pywick/models/segmentation/drn_seg.py
imports: from .drn import *
  import torch.nn
  import math
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the DRNSeg obj's underlying member method code with example usage: obj.forward(x) and returns: F, self